Triple

T13841666
Position Surface form Disambiguated ID Type / Status
Subject Nation multimodal interchange E332671 entity
Predicate connectsArea P2564 FINISHED
Object Paris city centre E235976 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paris city centre | Statement: [Nation multimodal interchange, connectsArea, Paris city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris city centre
Context triple: [Nation multimodal interchange, connectsArea, Paris city centre]
  • A. central Paris chosen
    Central Paris is the historic and cultural heart of France’s capital, encompassing its most famous landmarks, dense urban core, and major business, shopping, and tourist districts.
  • B. Paris region, France
    The Paris region in France, also known as Île-de-France, is the country’s most populous and economically significant area, centered around the capital city of Paris and encompassing its surrounding suburbs and satellite towns.
  • C. Paris Rive Gauche district
    The Paris Rive Gauche district is a major urban redevelopment area on the Left Bank of the Seine, known for its modern architecture, cultural institutions, and university campuses.
  • D. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • E. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ef9e7c8190b96c2b83d04708e1 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.